Remember that senior PM who knew every dependency, never missed a date, and already on Wednesday knew the key thing wouldn't make Friday? TaskPilot works similarly — except for each of your twelve projects simultaneously, and never forgets the details.
Every bigger project has one moment when everything starts falling apart. Client changes scope on Tuesday, developer takes sick leave Wednesday, supplier writes Thursday that delivery will be a week late. The team ends the sprint Friday convinced they still have a week until deadline. The production director finds out Monday. TaskPilot sees these problems Friday morning — because it doesn't look at one task, it looks at the whole dependency network and knows that a two-day delay on task A pushes the critical path by a week.
This isn't another Asana with a chatbot bolted on. TaskPilot has its own memory of your project: who does what, how long similar tasks usually take, who handles which work best, what risks exploded last sprint. It plans, predicts, and warns based on that — and learns your team a bit more every day.
The strongest part: TaskPilot talks to Claude natively through Model Context Protocol (MCP). You ask: "What's on the critical path today?", "Which projects are at risk this week?", "Plan my X launch in 8 weeks" — and get a real answer, based on your project's data. No copying, no exporting, no updates across three tools.
Underneath: FastAPI, Postgres, pgvector, RQ, Next.js. 89 unit tests covering the trickiest planning logic. A dedicated MCP server for Claude Desktop and Claude Code integration. For you — a clean browser panel, mobile-friendly, with a conversational interface as an option.
Each of these features is a concrete hour of senior PM work you no longer need to pay for.
Project → Phase → Task → Subtask → Step. As many levels as you actually need. Each level has its own status, deadline, owner, and dependencies. You don't have to flatten everything into a list of 200 items just because the tool wants it that way. TaskPilot grows with the complexity of your projects.
You define: "task B can't start until A finishes". TaskPilot computes the critical path itself and shows it in color on the Gantt. When A slips — you immediately see which downstream tasks shift and by how much. No Excel, no manual math, no end-of-sprint surprises.
AI learns from your project history. You type "prepare proposal for client" — TaskPilot suggests 4h because similar tasks have averaged 3.5–4.5h over the past months. The more projects flow through the system, the better the forecasts. After six months its estimates beat your best senior's.
AI scans your plan daily for red flags: tasks without owners, tasks with deadlines in 3 days and 0% progress, dependencies on people on vacation, work piling up on one developer next week. Each risk has rationale and a suggested action — just click "address".
The most powerful feature. TaskPilot exposes its state to Claude through Model Context Protocol — you open Claude Desktop, ask "what's on my plate today", and get a real answer from your project. You ask "plan launch of product X in 8 weeks" — Claude builds a task structure that shows up in your panel moments later. No copy-paste, no export-import. Live.
Someone moved a critical task's deadline? TaskPilot computes which other tasks shift and shows a proposed new schedule. You click "approve" or modify. No more dragging bars across the Gantt for an hour.
At a glance you see who has too much work next week and who can take on more. TaskPilot warns of overload ("Anna has 52h scheduled the week of March 18 — that's 12h too many") and suggests who can absorb tasks.
All standard visualizations available in one click. Gantt with critical path for leadership, burndown for the scrum master, velocity per team for planning future sprints. Export to PDF, PNG, or share-link for external clients.
A task with a deadline lands in your Google Calendar. Status change — Slack alert. Pull request merged — task auto-checked. TaskPilot plugs into what your team already uses; you don't need to abandon favorite tools.
You type a goal: "Launch the new client panel by June 30". That's it — the rest happens on its own.
TaskPilot proposes a structure: 6 phases, 34 tasks, dependencies, estimates, critical path.
You approve, change, add. AI helps, but the final word is yours.
Team works, marks statuses. TaskPilot reports progress and risks daily.
Things change? Auto-rescheduling. Risk rising? Escalation. Success — done.
You run 15 projects for 8 clients, each with different deadlines and teams. You lose half a day per week on status updates across 3 tools. TaskPilot is one source of truth — and clients see their projects in a personalized view.
Sprint planning, daily standup, retro — and someone still doesn't know what to do because Jira shows a ticket without context. TaskPilot ties the task to the PR, the product doc, architecture decisions, and the full discussion history. The developer knows why they're doing what they're doing.
You have 5 strategic initiatives in your head and can't recall which has an important decision waiting on your "yes". TaskPilot shows three things every morning: what's most urgent, where the risk is, what needs your decision. Without walking around asking people "where are we".
CEO announces on Monday: we want to ship a new product by end of quarter. Before TaskPilot the PM spent two days drafting a plan. Now — types the goal in the panel, AI proposes a structure (market research, design, development, testing, launch, follow-up), task distribution across 7 people, suggested deadlines. PM tweaks 20% and clicks "approve". Plan is ready by afternoon. Team starts the next morning.
A marketing agency runs an average of 12 campaigns per month for 9 clients. Before TaskPilot, every other project was 20–50% over its time budget — because nobody saw the copywriter overloaded in the third week, project A blocking resources for client C, a key creative pending approval from a client on vacation. TaskPilot reports these three things every morning and lets you act before they become problems. After three months delays dropped 40% and project margin rose 18%.
CEO starts every day opening Claude and asking: "What's most important today?". Through MCP integration, Claude sees the whole project portfolio in TaskPilot. Answers concretely: "Your team is waiting on a Q3 campaign budget decision — pending since yesterday. Project X is 2 days from deadline at 60% done — check if they need support. Andrew's contract ends June 1 with no replacement planned". Literally 30 seconds — and the CEO knows where to focus attention.
TaskPilot isn't a monolith. It's a set of modules we combine to fit your needs. We can deploy an MVP in 4 weeks, then extend in further iterations.
Standard PM tools (Asana, Monday, ClickUp) are great places to hold a list of tasks — but they don't think for you. TaskPilot adds an AI layer: breaks goals into tasks, predicts risks, suggests rescheduling, understands dependencies semantically. Plus — native Claude integration via MCP, which no other tool on the market has. Asana becomes a place to keep notes; TaskPilot is a place to think about your project.
Yes. We have importers for Jira, Asana, Monday, ClickUp, Notion, Trello, and CSV. Migrating one project usually takes 15–30 minutes. As part of the implementation, we import existing projects free of charge. You can also run the old tool in parallel during the transition — TaskPilot syncs bidirectionally with the most common systems.
TaskPilot can run on-prem (on your servers), in your cloud (AWS/GCP/Azure), or hybrid. Project data never leaves your infrastructure. All AI queries are audited, and you can configure local models (e.g., for the most sensitive projects). The system is GDPR-compliant and AI-Act-ready — full audit log of every AI decision.
MVP with basic functionality (tasks, hierarchy, teams, calendar) — 4 weeks. Full version with AI planning, MCP integration, and all reports — 8–12 weeks depending on scale. Throughout the period you have a prototype to test, you don't wait until the end. After deployment — a care period responding to changes in your business and updating AI models.
Słuszne pytanie. TaskPilot można uruchomić w trybie „cichym" — wpięty w istniejące Slacka i kalendarz, bez wymuszania, żeby zespół logował się do nowego panelu. AI obserwuje, analizuje, raportuje do PM-a czy CEO. Dopiero gdy zespół zobaczy wartość (mniej spotkań, lepsze estymacje, brak niespodzianek), zaczynamy stopniowo przenosić leadershipzanie zadaniami. Adopcja to proces — nie zmusza się ludzi do narzędzi rewolucją, tylko ewolucją.
Ingyenes 45 perces beszélgetés. Konkrét ötlet, hová illeszthető az AI a projektmenedzsmentbe — még akkor is, ha nem dolgozunk együtt.